Informatics and quantitative analysis in biological Imaging

被引：176

作者：

Swedlow, JR ^{[1
]}

Goldberg, I

Brauner, E

Sorger, PK

机构：

[1] Univ Dundee, Wellcome Trust Bioctr, Div Gene Regulat & Express, Dundee DD1 5EH, Scotland

[2] NIA, Genet Lab, NIH, Baltimore, MD 21224 USA

[3] Harvard Univ, Sch Med, Inst Chem & Cell Biol, Boston, MA 02115 USA

[4] MIT, Dept Biol, Cambridge, MA 02139 USA

来源：

SCIENCE | 2003年 / 300卷 / 5616期

基金：

英国惠康基金;

关键词：

D O I：

10.1126/science.1082602

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Biological imaging is now a quantitative technique for probing cellular structure and dynamics and is increasingly used for cell-based screens. However, the bioinformatics tools required for hypothesis-driven analysis of digital images are still immature. We are developing the Open Microscopy Environment (OME) as an informatics solution for the storage and analysis of optical microscope image data. OME aims to automate image analysis, modeling, and mining of large sets of images and specifies a flexible data model, a relational database, and an XML-encoded. le standard that is usable by potentially any software tool. With this design, OME provides a first step toward biological image informatics.

引用

页码：100 / 102

页数：4

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